AWS CLI
AWS CLI MCP Server provides a bridge between AI assistants and the AWS Command Line Interface, enabling execution of AWS commands directly through conversation. The server implements tools for executing AWS CLI commands with optional parameters, retrieving service details, and listing available AWS services. Built with TypeScript and the Model Context Protocol SDK, it verifies AWS CLI installation and credentials before starting, making it valuable for users who need to manage their AWS resources without leaving their AI assistant interface. Particularly useful for common tasks like listing S3 buckets, creating resources, or checking service status through natural language requests.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-19.
Scan details: Circle-IR · 2026-09-19 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- cloud-infra
- Source
- PulseMCP
- Repository
- github.com/icykallen/aws-cli-mcp-server
- Author type
- human
- Last scanned
- 2026-09-19
- Updated
- 2026-09-19
Use via MCP
Resolve AWS CLI from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp --scope user for --scope project to commit it to .mcp.json.